Convolutional Sparse Coding for Time Series Via a ℓ 0 ℓ _0 Penalty: An Efficient Algorithm With Statistical Guarantees
Identifying characteristic patterns in time series, such as heartbeats or brain responses to a
stimulus, is critical to understanding the physical or physiological phenomena monitored …
stimulus, is critical to understanding the physical or physiological phenomena monitored …
An Efficient Algorithm for Exact Segmentation of Large Compositional and Categorical Time Series
Change‐point detection, also known as signal segmentation, is an essential preprocessing
step in many applications, ranging from industrial monitoring to bioinformatics. In short, it …
step in many applications, ranging from industrial monitoring to bioinformatics. In short, it …
Pattern detection and shape analysis for physiological timeseries
T Germain - 2024 - theses.hal.science
Time series are prevalent in biomedical applications where they frequently display recurring
or abnormal patterns that hold significant information for statistical analysis. A notable …
or abnormal patterns that hold significant information for statistical analysis. A notable …
[PDF][PDF] Time series analysis for the study of rodent behavior
AL Oudre - fondation-hadamard.fr
Objectives. The overarching aim of this project is to propose new mathematical tools based
on time series analysis in order to analyze these behavioral data in an automated …
on time series analysis in order to analyze these behavioral data in an automated …
OVD-SaaS: Online Verifiable Data Science as a Service, an architecture of microservices for industrial artificial-intelligence applications: Architecture and study cases
JA Hernandez, T Germain, B Yadoughi… - … Computing in Data …, 2024 - ieeexplore.ieee.org
There is a growing concern about credibility and trustworthiness in results and claims of
research in computational data science, and at the same time, difficulty in taking those …
research in computational data science, and at the same time, difficulty in taking those …